Technical Account Manager, Data Platforms & Insights

PVH (Tommy Hilfiger/Calvin Klein); Cincinnati (OH); Hybrid; USD 70,000 - 90,000; Full time

Benefits offered by this job

Flexible working hours

Birthday off

Job summary

dunnhumby is seeking a Technical Account Associate to collaborate with clients on implementing data platforms and software products. You will work with a team to understand client data and systems, answer data inquiries, and help outline data roadmaps to drive measurable value.

The role emphasizes client interaction, data engineering concepts, and leveraging AI tools to improve productivity, with a focus on delivering solutions that meet customer requirements.

Qualifications

• Degree (or equivalent) in Information Systems or Computer Science or similar.
• Experience communicating with clients regularly.
• Experience with open source distributed data platforms.
• Knowledge of modern and traditional data warehousing and data processing technologies.
• Experience with data engineering concepts and technologies.
• Ability to query and investigate data in SQL.
• Experience using AI tools to improve productivity is a plus.

Responsibilities

• Assist with data exploration assessments to understand client data and systems.
• Respond to data‑related inquiries from internal and client stakeholders.
• Support in outlining data roadmaps and best options for clients.
• Resolve data issues with client data providers and coordinate with Client Leadership teams.

Skills

Client interaction

Data exploration

SQL querying

AI tools usage

Education

Degree in Information Systems or Computer Science

Tools

Open source distributed data platforms

Job description

dunnhumby is seeking a Technical Account Associate to collaborate with clients on implementing data platforms and software products. You will work with a team to understand client data and systems, answer data inquiries, and help outline data roadmaps to drive measurable value.

The role emphasizes client interaction, data engineering concepts, and leveraging AI tools to improve productivity, with a focus on delivering solutions that meet customer requirements.